Arwin-Yu/Deep-Learning-Image-Classification-Models-Based-CNN-or-Attention

This project organizes classic images classification neural networks based on convolution or attention, and writes training and inference python scripts

38
/ 100
Emerging

This project helps deep learning practitioners classify images by providing a collection of established neural network models. You provide a dataset of labeled images, and the system trains a model that can then predict the category of new, unseen images. This is for machine learning engineers, data scientists, or researchers who need to implement or benchmark image classification solutions.

210 stars. No commits in the last 6 months.

Use this if you need pre-built, production-ready code for training and inferring with classic image classification models, saving you time in setting up common architectures.

Not ideal if you are a non-technical user looking for a no-code solution or if you need to build entirely custom image classification models from scratch without leveraging existing architectures.

image-recognition computer-vision deep-learning neural-networks machine-learning-engineering
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 20 / 25

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Stars

210

Forks

38

Language

Jupyter Notebook

License

Last pushed

Dec 30, 2024

Commits (30d)

0

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